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CVE-2026-56845 – Unauthenticated Path Traversal (Arbitrary File Read) – Rocket.Chat before 7.10.8 /

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Summary

CVE-2026-56845 is an unauthenticated path traversal (CWE-22) vulnerability in Rocket.Chat’s /custom-sounds/ endpoint when FileSystem storage is enabled. An unauthenticated remote attacker can use ../ sequences to read arbitrary files outside the intended directory, resulting in disclosure of sensitive data. It is rated High severity (CVSS 7.5).

Technical details

  • Root cause: Insufficient sanitization of user-supplied path input on the /custom-sounds/ endpoint, allowing directory traversal via ../ sequences.
  • Trigger conditions: The instance must have FileSystem storage enabled; no authentication is required to exploit the flaw.
  • Attack vector: Network — a crafted HTTP request to the vulnerable endpoint.
  • Impact: Read access to arbitrary files outside the intended directory (high confidentiality impact); no integrity or availability impact.

Affected software

  • Rocket.Chat versions below 7.10.8
  • Rocket.Chat versions below 7.11.5
  • Rocket.Chat versions below 7.12.5
  • Rocket.Chat versions below 7.13.4
  • Rocket.Chat versions below 8.0.2
  • Rocket.Chat versions below 8.1.1
  • Rocket.Chat versions below 8.2.0

Severity

  • CVSS base score: 7.5 (High)
  • Vector string: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: Upgrade to a fixed release — 7.10.8, 7.11.5, 7.12.5, 7.13.4, 8.0.2, 8.1.1, or 8.2.0 (or later).
  • If no patch can be applied: Restrict network access to the affected instance and place it behind controls that filter path-traversal sequences in requests to the /custom-sounds/ endpoint.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Page title: rocket.chat
  • Raw response body: loading__animation__bounce

References

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1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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